Lead Platform Engineer at Capital One driving transformation in technology and solutions with Agile practices and DevOps tools. Collaborating on complex technical problems in a fast - paced environment.
About the role
- Senior AI Platform Engineer designing and implementing AI infrastructures at leading financial services company. Utilizing big data platforms and mentoring engineers in AI best practices.
Responsibilities
- Design and build a scalable Agentic AI framework on top of our data platform.
- Implement MCP- and A2A-based architectures for agent collaboration and orchestration.
- Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT).
- Build APIs, SDKs, and tooling to enable other teams to use the framework.
- Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents.
- Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption.
- Mentor other engineers and contribute to AI engineering best practices .
Requirements
- Strong programming skills in Python with 5+ years of experience
- Proven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes).
- Deep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A).
- Hands-on experience with API design & integration (REST, GraphQL, gRPC).
- Knowledge of cloud infrastructure & container orchestration (Kubernetes, Docker).
- Strong understanding of IAM, security, and multi-tenancy in enterprise systems.
- Track record of building production-grade AI/data platforms .
- Experience in Information Security .
- Experience with vector databases (pgvector, Pinecone, Weaviate, Milvus, Vespa).
- Familiarity with event-driven architectures (Kafka, Pulsar).
- Understanding of retrieval-augmented generation (RAG) patterns.
- Background in authorization/identity systems (ReBAC, RBAC, Zanzibar-style).
- Familiarity with observability (OpenTelemetry, DataHub, MLflow, Prometheus).
- Experience in enterprise AI governance (audit, lineage, compliance).
- Contributions to open-source AI frameworks (LangChain, OpenAI MCP, Hugging Face, etc.).
Benefits
- Flexibility : Hybrid Work Model & a Business Casual Dress Code, including jeans
- Your Future: 401 (k) Matching Program, Professional Development Reimbursement
- Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
- Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
- Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees
- Training: Hands-On, Team-Customized, including SS&C University
- Extra Perks: Discounts on fitness clubs, travel, and more!
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